randomforest
mab
randomforest | mab | |
---|---|---|
2 | 2 | |
39 | 46 | |
- | - | |
2.6 | 0.0 | |
2 months ago | 27 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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randomforest
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Boruta algorithm added to Random Forest library
mab
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Machine Learning
Here's an example of multi-armed bandits done in Go: https://github.com/stitchfix/mab
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Can you share some Go package that you think has high quality clean code?
MAB library for Multi-Armed Bandits
What are some alternatives?
GoLearn - Machine Learning for Go
hack-technicolor - Hacking Technicolor Gateways wiki repository
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
heimdall - An enhanced HTTP client for Go
sklearn - bits of sklearn ported to Go #golang
exposure-notifications-server - Exposure Notification Reference Server | Covid-19 Exposure Notifications
goml - On-line Machine Learning in Go (and so much more)
spaGO - Self-contained Machine Learning and Natural Language Processing library in Go
EAGO
mlgo - Machine Learning with Go (golang) Session Material for GOLAB 2018
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.